Glia
201 - 500 employees
Founded 2012
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
💰 $45M Series D - Glia on 2022-03
Consulting • Logistics • Artificial Intelligence
Glia is an AI-powered customer service platform and ChannelLess® contact center solution that helps banks, credit unions, and financial institutions automate and personalize voice and digital interactions. The company provides virtual assistants, voice AI, agent co-pilots, manager AI analysts, predictive routing, cognitive quality management, and analytics to boost self-service, agent productivity, compliance, and growth metrics (loans, deposits, cost savings). Glia emphasizes security, integrations, and industry-specific features for banking and credit unions, delivering a SaaS platform that replaces legacy CCaaS systems.
Senior Software Engineer, SRE / Observability Tooling
🕒 July 15
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Glia
201 - 500 employees
Founded 2012
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
💰 $45M Series D - Glia on 2022-03
Consulting • Logistics • Artificial Intelligence
Glia is an AI-powered customer service platform and ChannelLess® contact center solution that helps banks, credit unions, and financial institutions automate and personalize voice and digital interactions. The company provides virtual assistants, voice AI, agent co-pilots, manager AI analysts, predictive routing, cognitive quality management, and analytics to boost self-service, agent productivity, compliance, and growth metrics (loans, deposits, cost savings). Glia emphasizes security, integrations, and industry-specific features for banking and credit unions, delivering a SaaS platform that replaces legacy CCaaS systems.
📋 Description
• Build SRE and observability tooling • Develop standards, infrastructure, and automation for dashboards and alerts • Partner with development teams for production and operational readiness • Build tooling and templates for defining and reporting on Service Level Objectives (SLOs) • Automate observability and operational workflows • Improve incident response tooling and workflows
🎯 Requirements
• Expert-level proficiency with AWS and Kubernetes (EKS) • Experience with modern observability platforms (e.g., DataDog, Prometheus) • Deep understanding of Site Reliability Engineering (SRE) principles (SLOs, error budgets) • Experience analyzing and troubleshooting large-scale distributed systems • Strong software development skills (Python, Go) • Expertise in CI/CD pipelines (e.g., ArgoCD, Github Actions) • Data-driven problem-solving approach • Proficiency in using AI tools responsibly
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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